Preservation and Conservation of Information Materials in Library: Case Study of NTC Kabale. by Nasasira Marlinah

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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

“…Abstract Aiming at the recognition of low‐probability‐of‐intercept (LPI) radar signals, a support vector machine (SVM)‐based algorithm is proposed, where the information geometry theory is utilised to optimise the kernel function of the SVM. …”
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CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research by Monan Zhou, Shenyang Xu, Zhaorui Liu, Zhaowen Wang, Feng Yu, Wei Li, Baoqiang Han

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BIG DATA AND ARTIFICIAL INTELLIGENCE IN INFORMATION SYSTEMS OF PRODUCT QUALITY MANAGEMENT by Zhandaraly Sadyraliev, Tuganay K. Zhumanbayeva, Olga V. Dybina, Aleksandr A. Krutilin, Grisha M. Amirkhanyan

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A Novel Network for Choroidal Segmentation Based on Enhanced Boundary Information by Wenbo Huang, Chaofan Qu, Yang Yan

“…To address these issues, this paper proposes an automatic choroid segmentation network, termed Boundary Enhancement Net (BENet), which enhances boundary information to facilitate precise recognition and achieve end-to-end automatic segmentation. …”
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Application of geographic information system in ecotourism: a global bibliometric analysis by Amadua, Festus O., Nhamob, Luxon, Benzougagh, Brahim, Turyasingura, Benson

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Direct and moderating effects of organizational factors on system usage in colleges: a resource-based perspective by Faridiah Aghadiati Fajri, Nurisqi Amalia

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Evaluation of the quality of information provided by ChatGPT on pelvic and acetabular surgery by Conor J. Kilkenny, Martin S. Davey, David O'Sullivan, Conor Medlar, Conor O’ Driscoll, Brendan O'Daly

“…We hypothesized that while ChatGPT would generate information of high quality, its readability would be low. …”
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Effectiveness of the voluntary disclosure of corporate information and its commitment to climate change by F.G. Arredondo Trapero, E.M. Guerra Leal, J. Kim

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El uso de la información judicial (The use of judicial information) by Volkmar Gessner

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A frequency attention-embedded network for polyp segmentation by Rui Tang, Hejing Zhao, Yao Tong, Ruihui Mu, Yuqiang Wang, Shuhao Zhang, Yao Zhao, Weidong Wang, Min Zhang, Yilin Liu, Jianbo Gao

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MODIS Satellite Imagery for Monitoring Carbon Sequestration Potential and Its Drivers in Jambi Province, Indonesia by Prima Widayani, Muhammad Arrafi

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Roles of ICT towards access to Information and their Use in Academic Institutions.A Case Study of Bishop Kivengyere Girls Secondary School Muyebe in Kabale District. by Isaac, Byishimo

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CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition by Zhouyu Ji, Shuran Li, Hongfei Zhang, Chuangquan Chen, Qian Xu, Junhua Li, Hongtao Wang

“…Methods: This study proposed a deep-learning analysis framework called Convolutional Block Attention Module-Deep Convolutional Neural Network (CBAM-DeepConvNet) to decode aVEPs-based characters. First, the spatial and temporal attention modules were utilized to acquire refined EEG signals, effectively capturing event-related information. …”
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SeqConv-Net: A Deep Learning Segmentation Framework for Airborne LiDAR Point Clouds Based on Spatially Ordered Sequences by Bin Guo, Chunjing Yao, Hongchao Ma, Jie Wang, Junhao Xu

“…Point cloud data provide three-dimensional (3D) information about objects in the real world, containing rich semantic features. …”
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RegCDNet: A RegNet-Based Framework for Remote Sensing Image Change Detection Combining Feature Enhancement and Gating Mechanism by Chuanlu Li, Xiaorong Xue, Caijia Zeng, Yifan Xu, Xingbiao Xu, Siyue Zhao

“…Therefore, we propose a novel CD model called RegCDNet, which is specifically designed to address the needs of RS image CD. The model employs RegNet as the backbone network for feature extraction, using a simple and efficient strategy to fuse shallow features. …”
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RoofMapNet: Utilizing geometric primitives for depicting planar building roof structure from high-resolution remote sensing imagery by Jiaqi Wang, Guanzhou Chen, Xiaodong Zhang, Tong Wang, Xiaoliang Tan, Qingyuan Yang, Wenlin Zhou, Kun Zhu

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CrossGraphNet: a cross-spatiotemporal graph-based method for traffic speed reconstruction using remote sensing vehicle detection by Yan Zhang, Mei-Po Kwan, Jiannan Cai, Jianying Wang, Peifeng Ma

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MMRAD-Net: A Multi-Scale Model for Precise Building Extraction from High-Resolution Remote Sensing Imagery with DSM Integration by Yu Gao, Huiming Chai, Xiaolei Lv

“…On the GF-7 Dataset, MMRAD-Net achieved an F1-score of 91.12% and an IoU of 83.01%. …”
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Precision-Driven Semantic Segmentation of Pipe Gallery Diseases Using PipeU-NetX: A Depthwise Separable Convolution Approach by Wenbin Song, Hanqian Wu, Chunlin Pu

“…Aiming at the problems of high labor cost, low detection efficiency, and insufficient detection accuracy of traditional pipe gallery disease detection methods, this paper proposes a pipe gallery disease segmentation model, PipeU-NetX, based on deep learning technology. By introducing the innovative down-sampling module MD-U, up-sampling module SC-U, and feature fusion module FFM, the model optimizes the feature extraction and fusion process, reduces the loss of feature information, and realizes the accurate segmentation of the pipe gallery disease image. …”
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